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The Detection of QRS Wave Based on Both Positive and Negative Difference_Thresholds Method

机译:基于正负差阈值法的QRS波检测

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The ECG parameters extraction and ECG identification serve as the foundation for ECG Automatic Identification, which has become the hot issue in the field of signal processing [1]. This paper makes a study on the existing QRS complexes detection algorithms, and makes an analysis of the characteristics of differential operator. Based on the real-time feature of ECG automatic detection, this paper puts forward a precise positioning for QRS Complexes, by the means of both positive and negative difference thresholds. This paper uses the order of the positive and negative difference scores of R point to detect inverted R wave. Eventually, this paper uses MIT-BIH ECG database and the clinical measured data to verfiy the above method. The experimenatal results shows that this method is simple, effective, highly accurate and fast operation speed. The detection rate of QRS Complexes is 99.62% or so, which can meet the requirement of ECG realtime detection.
机译:心电图参数提取和心电图识别是心电图自动识别的基础,已成为信号处理领域的热点问题[1]。本文对现有的QRS波群检测算法进行了研究,并对微分算子的特征进行了分析。基于心电图自动检测的实时性,通过正负差阈值的方法,提出了QRS波群的精确定位。本文利用R点正负差分数的顺序来检测倒R波。最终,本文使用MIT-BIH ECG数据库和临床测量数据验证了上述方法。实验结果表明,该方法简单,有效,准确度高,运算速度快。 QRS复合物的检出率为99.62%左右,可以满足心电图实时检测的要求。

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